<ul><li>Researchers aimed to optimize the detection of Chronic Obstructive Pulmonary Disease (COPD) using convolutional neural networks (CNN).</li><li>They explored manually adjusted versus automated window-setting optimization (WSO) on computed tomography (CT) images.</li><li>The study utilized 7,194 CT images and compared various CNN architectures.</li><li>By applying automated WSO, the DenseNet model achieved a mean AUC of 0.82 for detecting COPD.</li></ul>

Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging

Discover more